Connected to database: awc_creches_monthly_data
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Total tables found: 8

Tables:
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1. anganwadi_names
   Columns: id, district_id, awc_center_code, name

2. children_0m_6m
   Columns: child_Id, ProjectName, DistrictName, abha_address, abha_id, aadhar_flag, aadhar_verified, awc_id, awc_name, beneficiary_type, category, district_id, dob, father_name, gender, id, mobile_no, mobile_verified, mother_name, name, project_id, sector_id, sector_name, state_id, updated_at, awc_code, uid_hash, ProjectCode, monthupdated, yearupdated, age_in_months, snp_opt_out, birth_weight, current_weight, weight_captured_date, encrypted_u_id, encrypted_mobile, face_verified

3. children_3y_6y
   Columns: child_id, id, ProjectName, DistrictName, ProjectCode, monthupdated, yearupdated, created_at, aadhar_flag, aadhar_verified, abha_address, abha_id, awc_code, awc_id, awc_name, beneficiary_type, category, district_id, dob, father_name, gender, mobile_no, mobile_verified, mother_name, name, project_id, school_going, sector_id, sector_name, snp_opt_out, snp_opt_out_date, state_id, uid_hash, updated_at, age_in_months, encrypted_u_id, birth_weight, current_weight, weight_captured_date, encrypted_mobile, ProjectID, face_verified, apaar_id

4. children_6m_3y
   Columns: child_Id, aadhar_flag, aadhar_verified, awc_id, awc_name, beneficiary_type, category, district_id, dob, father_name, gender, id, mobile_no, mobile_verified, mother_name, name, project_id, sector_id, sector_name, state_id, updated_at, ProjectName, DistrictName, awc_code, abha_address, abha_id, snp_opt_out, snp_opt_out_date, uid_hash, monthupdated, yearupdated, ProjectCode, age_in_months, encrypted_mobile, encrypted_u_id, birth_weight, current_weight, weight_captured_date, face_verified

5. district
   Columns: id, district_id, district_name, created_at, updated_at

6. gm
   Columns: child_id, project_id, project_name, district_name, beneficiary_id, name, father_name, mother_name, dob, gender, mobile_number, aadhaar_number, address, awc_belongs_to, awc_code, awc_id, awc_name, beneficiary_type, district_id, height, height_capture_date, height_unit, month, sector_id, sector_name, state_id, stunted, underweight, wasting, weight, weight_capture_date, weight_unit, year, DistrictName, api_month, api_year, ProjectID

7. migrations
   Columns: id, version, class, group, namespace, time, batch

8. monthly_outreach_data
   Columns: id, anganwadi_center_code, awc_worker_name, address_of_new_locations, building_type, location_area, month_year, created_at, updated_at

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Note: Update the script with the correct table names.