Week 1

3/20: Original Plan: Chatbot where user inquires about a certain disease, chatbot pulls diseases and asosiated symtoms from a dataset, user answeres, chatbot provides a pertange of likleyhood of having the disease

3/21: Implementing chatbot: Utalizing gemini api key, and a dataset from symbipredict_2024, chatbot implemented in backend terminal

Week 2

3/24-3/25: Refining chatbot, implementing fuzzy searching, and completing student taught lessons/lesson homework

3/26: New Idea: Gene Guessing Game, more user input/engagment teaching about genetic conditions/causes. Creating first draft of

3/27-3/28: Finding dataset with assosiated genetic conditions:
National Institute of Health dataset , Dna sequence fetching Api

Week 3

3/31: Teach lesson to class + grade homework + implement datasets into code

4/1: Completing student taught lessons + helping with re adding header with documentation, and frontend UI (Adding Frontend to Guessing Game)

4/2: Building json file to compile data from 2 datasets, and creating API to pull both datasets together (refining search to only overlapping dieases from both sets) JSON file

4/3: Build Api fetching 2 datasets (with JSON file) to obtain the condition, gene, mutation, and sequence (making sure that the data from both files overlaps with the same gene/mutation) API

4/4: Testing get/post functions in postman, and building model file for assosiated API, saving data into SQL Lite database

postman output Fetching data from endpoint function in API file

class GetSequence(Resource):
    def get(self):
        tries = 0
        max_tries = 20

        while tries < max_tries:
            entry = random.choice(mutation_data)
            gene = entry["gene"]

            sequence = fetch_sequence(gene)
            if sequence:
                short_seq = sequence[:150] + "..." if len(sequence) > 150 else sequence
                return jsonify({
                    "gene": gene,
                    "condition": entry["condition"],
                    "mutation": entry["mutation"],
                    "sequence": short_seq
                })

            tries += 1
            print(f"[INFO] Retry {tries}: sequence not found for gene {gene}")

        return jsonify({"error": "Could not find a gene with both mutation and sequence"}), 500

Explaination of function:

  • fetching gene sequence randomly from mutation_data (dataset)
  • If fetched correctly returns with a shortened version (150 or less charecters)
  • If failed more then 20 times responds with a 500 not found error

Week 4

4/7: Student taught lessons + adding features to frontend design: color coordinates DNA sequence, button to display assosiated gene/disease, button to quiz again

4/8: Student taught lessons + fixing model/saving data correctly into SQLite database

4/9: Preparing for live review with Mr.Mort, going over agenda, features, order of presenting